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Subcellular Localization Statistics of a Dilated-Cardiomyopathy-related Biological Network

机译:扩张型心肌病相关生物网络的亚细胞定位统计

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摘要

In our previous work a workflow was introduced to analyze the subcellular localization of a MUPP1related protein-protein interaction network using the CELLmicrocosmos Pathwaylntegration (CmPI). Starting point of this approach was a human sample associated with Dilated Cardiomyopathy which is a major cause of death in many industrialized nation. Based on a logical analysis, the subcellular localization of the pathway was predicted and mapped onto a threedimensional cell environment. But the workflow leading to the definition of the final localizations as well as the analysis methods has had its drawbacks. Therefore, in this work a new interactive visualization method is presented, enabling a fast and intuitive way to analyze and locate the MUPPrelated pathway, the Localization Statistics. In addition it will be shown - based on a new data integration of the used databases - that a prediction from our previous approach has meanwhile been proven.
机译:在我们之前的工作中,引入了工作流以使用CELLmicrocosmos PathwayIntegration(CmPI)分析MUPP1相关蛋白-蛋白相互作用网络的亚细胞定位。这种方法的起点是与扩张型心肌病相关的人体样本,扩张型心肌病是许多工业化国家的主要死因。基于逻辑分析,预测了该途径的亚细胞定位并将其映射到三维细胞环境中。但是导致最终定位的定义以及分析方法的工作流有其缺点。因此,在这项工作中,提出了一种新的交互式可视化方法,从而可以快速而直观地分析和定位与MUPP相关的路径,即本地化统计信息。此外,基于使用的数据库的新数据集成,将显示出我们之前的方法的预测已被证明。

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  • 会议地点 Hangzhou(CN)
  • 作者单位

    Bio-/Medical Informatics Department, Bielefeld University, Universitatsstralie 25,33615 Bielefeld, Germany;

    Bio-/Medical Informatics Department, Bielefeld University, Universitatsstralie 25,33615 Bielefeld, Germany;

    Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences,4 Acad. Koptyug Avenue, 630090 Novosibirsk, Russia;

    CNR ISMAC, Via de Marini 6, Genoa, Italy;

    Bio-/Medical Informatics Department, Bielefeld University, Universitatsstralie 25,33615 Bielefeld, Germany;

    Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russia;

    Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russia;

    Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russia;

    Bio-/Medical Informatics Department, Bielefeld University, Universitatsstralie 25,33615 Bielefeld, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物信息论;
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